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Proceedings Paper

Self-calibration from measurements of targets with known dynamics
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Paper Abstract

In this paper, the problem of estimating sensor biases (e.g., range and bearing biases) from measurements of targets with deterministic dynamics but uncertain initial conditions is considered. The known dynamics are exploited by a single sensor to self-calibrate or determine unknown sensor biases. The concept of bias state tracklet fusion from tracks of multiple trajectories is discussed. The effectiveness of this concept is demonstrated, and the performance sensitivity to geometry variations and the number of available targets is examined. For comparison, the bias state tracklet estimator is compared to a nonlinear least squares (NLS) estimator.

Paper Details

Date Published: 15 September 2005
PDF: 14 pages
Proc. SPIE 5913, Signal and Data Processing of Small Targets 2005, 591312 (15 September 2005); doi: 10.1117/12.623926
Show Author Affiliations
Paul D. Burns, Georgia Tech Research Institute (United States)
W. Dale Blair, Georgia Tech Research Institute (United States)


Published in SPIE Proceedings Vol. 5913:
Signal and Data Processing of Small Targets 2005
Oliver E. Drummond, Editor(s)

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